We apply sparse signal processing to QAM blind equalization.
我们将稀疏信号处理应用于QAM盲均衡。
A novel criterion of blind equalization is introduced for communication channels.
本文对于通信信道提出了一种新的盲均衡准则。
A new blind equalization algorithm is proposed for QAM and PAM communication systems.
本文提出一种适合于PAM、QAM数字通信系统的新的盲均衡算法。
A new blind equalization algorithm based on diagonal recurrent neural networks (DRNN) is proposed.
提出了一种基于对角递归神经网络的盲均衡算法。
Based on support vector machine blind equalization algorithm, the use of the input signal is QPSK.
基于支持向量机的盲均衡算法，使用的输入信号是QPSK。
Blind equalization is one of the key technologies of blind demodulation to compensate the channel distortion.
盲均衡是实现信号盲解调的关键技术之一，是补偿信道失真的重要手段。
This paper proposes and discusses a blind equalization algorithm for multilevel digital communication systems.
本文提出并讨论了一个适用于多电平数字通信系统的盲均衡算法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
This paper researches blind equalization ruler, analyses the knowledge of HOS and summarizes some algorithms based on the HOS.
本文分析了盲均衡准则，阐述了高阶统计量的基础知识，总结了基于高阶统计量的几种盲均衡算法。
Therefore, this dissertation investigates the application of blind equalization technology in an acoustic communication system.
因此，本论文主要研究盲均衡技术在水声通信系统中的应用。
Therefore, this thesis investigates application of blind equalization technique in high speed underwater acoustic communication.
因此，本论文主要研究盲均衡技术在高速水声通信系统中的应用。
This paper provides a Blind Equalization Algorithm based on data-reusing Constant Modulus Algorithm (CMA) for short burst signal.
提出一种适用于短突发信号的CMA盲均衡算法。
It can adapt to any other blind equalization algorithms and be applied to the case that number of source signal is not known in advance.
此法可适用于任何盲均衡算法(信号信道均衡的拓延)，它也可以应用于源信号数目预先未知的情况。计算机模拟结果证实此方法的确是非常有效的。
Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels.
在数字通信中，盲均衡是克服多径衰落信道导致的码间干扰的一种有效方法。
The constant modulus blind equalization technique is investigated over a slow Rayleigh fading ionospheric channels with additive white Gaussian noise.
研究通过具有加性高斯白噪声的瑞利慢衰落电离层信道的恒模盲均衡技术。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
尝试提出了变步长双模式恒模算法，并与神经网络结合应用于盲均衡研究中。
Based on QAM modulation and constant modulus algorithm (CMA), a novel blind equalization algorithm, the construction function (CF) algorithm is proposed.
基于QAM调制信号及常模算法(CMA)，提出一种新的盲均衡算法—构造函数(CF)算法。
In this paper, we present an ISI model in which we consider the nonlinear nature of the channel and introduce blind equalization method to debase the ISI.
本文考虑了体全息存储信道的非线性特点，提出了页内串扰的模型，并引入了盲均衡化的方法来降低页内串扰。
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available.
盲均衡就是不借助于训练序列而仅仅利用接收序列就实现均衡的一种新兴的均衡技术。
The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.
该算法具有比传统的基于二阶统计的盲均衡算法的计算过程和计算精度较高。
The simulations show that the algorithm effectively improves the convergence rate for blind equalization, while guaranteeing satisfying convergence accuracy.
结果证明，该算法能够在保证收敛精度的基础上，有效提高盲均衡收敛速度，同时便于硬件实现。
This blind equalization algorithm can work with a noncoherent decoder, resulting in a low-complexity and completely blind method for decoding in the present of ISI.
这种均衡器可以和非相干检测器配合使用，从而在存在码间干扰的情况下实现低复杂度的完全盲均衡。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
本文主要介绍了基于二阶统计量(SOS)的数字通信系统的盲辨识和盲均衡。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
结合自适应信道盲均衡和离散混沌系统的稳健差拍同步提出了一种存在信道畸变时的离散混沌系统的稳健差拍同步方法。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
一个强大的无差拍同步方法，提出了离散混沌系统的自适应信道盲均衡和无差拍混沌同步。
Blind equalization and blind channel identification mean that estimate the unknown sending signals and unknown channel respectively when there is no training serials.
“盲均衡”和“盲辨识”分别是指在不需要训练序列的条件下，对未知发送信号的估计和对未知信道的估计。
Theoretical analysis and computer simulations show that the performances of the blind equalization algorithm are superior, and is very useful for practical application.
理论分析和计算机模拟表明，该算法具有较好的性能，是一种很实用的均衡算法。
Theoretical analysis and computer simulations show that the performances of the blind equalization algorithm are superior, and is very useful for practical application.
理论分析和计算机模拟表明，该算法具有较好的性能，是一种很实用的均衡算法。
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